Performance Optimization
Finding out why a system is slow, then making it fast.
Slowness is a symptom with many possible causes: inefficient database queries, missing indexes, unfortunate architecture, growing data volume, or an external service quietly degrading. Guessing is expensive. We measure first, identify the actual bottleneck, and fix that, not the ten things that were merely suspected.
Measurement before changes
We start with profiling and monitoring data: where does time actually go? This regularly contradicts assumptions, and it prevents weeks of optimizing code that was never the problem.
Database optimization
Databases are the most common bottleneck in business applications. We analyze query plans, indexing, and schema design, and we optimize the layer where the problem actually lives instead of adding hardware around it.
Troubleshooting unclear problems
Some problems are not clearly performance issues: intermittent failures, inconsistent data, errors nobody can reproduce. We approach these systematically, narrowing down, instrumenting, and isolating until the cause is found.
Verified results
An optimization is finished when the improvement is measured under realistic conditions, not when the code looks faster. We verify results against the original measurements and document what changed and why.
Typical symptoms we investigate
- Pages or reports that take noticeably longer as data grows.
- Background jobs that no longer finish within their window.
- A database server under constantly high load.
- Timeouts and errors that appear only under real traffic.
- Costs that rise faster than usage because inefficiency is compensated with hardware.
Sounds like your situation?
Send us a short description of your systems and what is not working. We will tell you honestly whether and how we can help.
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